All today’s slides, code, and rmarkdown files are available on GitHub
Downloading the workshop material from the terminal:
git clone https://github.com/RamiKrispin/Time-Series-Workshop.git
Or lunch it from a docker container:
Time series data - is a sequence of values, each associate to a unique point in time
Regular time series - is a sequence of observations which were captured at equally spaced time intervals (e.g., every month, week, day, hour, etc.)
Irregular time series - or unevenly spaced time series, is a sequence of observations which were not captured on equally spaced time intervals (for example rainy days, earthquakes, clinical trials, etc.)
Note: typically, the term time series data referred to regular time-series data.
Time series analysis - is the process of extracting meaningful insights from time series data in order to learn about the past and predict the future
With time series analysis, you can answer questions such as: